Exploring Cross-Generational Traits and 
Management Across Generations in the Workforce: A Theoretical Literature Review Cover Image

Exploring Cross-Generational Traits and Management Across Generations in the Workforce: A Theoretical Literature Review
Exploring Cross-Generational Traits and Management Across Generations in the Workforce: A Theoretical Literature Review

Author(s): Christopher Ardueser, Diana Garza
Subject(s): Business Economy / Management, State/Government and Education
Published by: Scientia Moralitas Research Institute
Keywords: Generations; Traditionalist; Baby Boomers; Generation X; Millennials
Summary/Abstract: Understanding and identifying the traits of different generations and their effects on management is essential for creating a strategic business operational management structure. This literature review aims to identify traits associated with each generation and determine if any cross-generational traits exist to capitalize on each group's characteristics and find solutions in managing multiple generations. This research will examine the literature on each generation consisting of the Traditionalist, Baby Boomers, Generation X, Millennials, and Generation Z; and attempt to identify traits that affect each generation's ability to be managed in the workforce and work with other employees of different generations. The goal is to test the assumption that some, if not all of these traits, are unique to or are shared across generations. This review will explore each generation's set of traits and management characteristics to develop the groundwork to form successful teams and further explore the best way to collaborate across different generations by exploiting and acknowledging work values displayed by each generation. This review will also provide a platform for further studies and can be used as a standard to build stronger, more cohesive, and productive teams made of multi-generations.

  • Page Range: 1-8
  • Page Count: 9
  • Publication Year: 2021
  • Language: English
Toggle Accessibility Mode